Lun‐Ping Hung

434 citations
31 papers · 289 · h-index 7

Impact in

Papers in

Lun‐Ping Hung

29 papers receiving 264 citations

Peers

Lun‐Ping Hung
Comparison fields: 5 of 76
  • Accounting 107
  • Health Information Management 31
  • Marketing 41
  • Artificial Intelligence 129
  • Finance 35
Replace Johannes Jurgovsky with:
Johannes Jurgovsky Germany
Manomita Chakraborty India
Chungang Yan China
Meenakshi Meenakshi India
Pradeepta Kumar Sarangi India
Naif Almusallam Saudi Arabia
Rd. Rohmat Saedudin Indonesia
Asma Cherif Saudi Arabia
Mohamad Ishak Desa Malaysia
Puteri N. E. Nohuddin Malaysia
Lun‐Ping Hung relative to Johannes Jurgovsky Germany Johannes Jurgovsky's profile →
Citations per field
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Johannes Jurgovsky · 1×
Citations per year

Countries citing papers authored by Lun‐Ping Hung

Since Specialization
Citations

This map shows the geographic impact of Lun‐Ping Hung's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lun‐Ping Hung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lun‐Ping Hung more than expected).

Fields of papers citing papers by Lun‐Ping Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lun‐Ping Hung. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lun‐Ping Hung. The network helps show where Lun‐Ping Hung may publish in the future.

Co-authors

The 23 scholars most cited alongside Lun‐Ping Hung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lun‐Ping Hung Line = papers co-authored together Lun‐Ping Hung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009130
2 200647
3 201026
4 202112
5 20147
6 20097
7 20156
8 20186
9 20205
10 20195
11 20045
12 20153
13 20133
14 20113
15
Using Internet of Things to Improve the Sterilization Process for Surgical Instruments in Healthcare
20202
16 20212
17 20202
18 20152
19 20142
20 20212

About Lun‐Ping Hung

Lun‐Ping Hung is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications, Health Information Management and Aerospace Engineering, having authored 31 papers that have together received 289 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (9 papers), IoT and Edge/Fog Computing (5 papers), Indoor and Outdoor Localization Technologies (4 papers), Advanced Measurement and Detection Methods (3 papers), Infrared Target Detection Methodologies (3 papers), Advanced Wireless Network Optimization (2 papers), IoT-based Smart Home Systems (2 papers) and Electronic Health Records Systems (2 papers). The work is most often cited by research in Accounting (107 citations), Health Information Management (31 citations), Marketing (41 citations), Artificial Intelligence (129 citations) and Finance (35 citations). Lun‐Ping Hung has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Nan‐Chen Hsieh, Horng‐Jinh Chang, Chun-Che Shih, Weidong Huang, Ching-Sheng Wang, Chien‐Liang Liu, Yuan‐Hung Chao, Chaomin Luo, Gene Eu Jan and Kuo‐Chung Chu. Their work appears in journals such as Mobile Networks and Applications, Journal of Medical Systems, Expert Systems with Applications, International Journal of Environmental Research and Public Health and European Journal of Oncology Nursing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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